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Descripción
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| Drought is a complex phenomenon, which is difficult to define. The term is used to refer to deficiency in rainfall, soil moisture, vegetation greenness, ecological conditions or socio economic conditions, and different drought types can be inferred. In this study, drought is considered as a period when the pasture growth is low in regard to long-term average conditions. Early drought detection and impact assessment on the amount of pasture biomass are im- portant in several areas in Spain, whose economy strongly depends on livestock production. The use of remote sensing data presents a number of advantages when determining drought impact on vegetation. The information covers the whole of a territory and the repetition of images provides multi-temporal measurements. In addition, vegetation indexes, being NDVI (normalized difference vegetation index) and SAVI (soil-adjusted vegetation index) the most common ones, obtained from satellite data allow areas affected by droughts to be identi- fied. These indices are being used for estimation of vegetation photosynthesis activity and monitoring drought. The present study shows the application of these vegetation indices for pasture drought monitoring in several places in Spain and their correlation with several field measurements depending on the scale and resolution of remote images. | |
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Internacional
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Si |
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Nombre congreso
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2nd International Conference on Hydropedology. |
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Tipo de participación
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960 |
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Lugar del congreso
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Leipzig, Germany |
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Revisores
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Si |
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ISBN o ISSN
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0000-0000 |
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DOI
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Fecha inicio congreso
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22/07/2012 |
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Fecha fin congreso
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27/07/2012 |
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Desde la página
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1 |
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Hasta la página
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1 |
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Título de las actas
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pte. publicación abstract |